Smart Systems Hub

Full-stack Engineer

• Develop modular, maintainable backend applications, APIs, data services, and integration components using Python
• Design cloud-based software and data architectures
• Integrate backend, data, AI, edge, and cloud components into end-to-end systems
• Develop data pipelines and ETL/ELT processes for machine, sensor, image, event, and time-series data
• Integrate cloud services, databases, storage, and streaming technologies
• Ensure data quality, traceability, and availability
• Analyze data and develop prototypes using data science and machine learning approaches
• Assess data quality, model performance, technical feasibility, and the limitations of data-driven solutions
• Develop and integrate computer vision solutions for visual quality inspection, condition monitoring, or predictive maintenance
• Help shape hardware-software architectures involving cameras, sensors, edge systems, data pipelines, cloud components, and AI models
• Develop prototypes and demonstrators with industry partners, technology partners, start-ups, and research institutions
• Ensure quality through API design, automated testing, code reviews, version control, containerization, CI/CD, and documentation
• Contribute to design sprints, hackathons, and co-innovation projects

Python Software Engineer